Openlayer Guardrails vs Trusys AI

Openlayer Guardrails inspects live AI inputs and outputs and can block, redact, escalate, or route policy violations for review. It targets prompt injection, jailbreak attempts, exposure of personal or health information, and harmful or toxic content. Openlayer says it detects and blocks more than 50 PII and PHI entity types inline. Teams can configure sensitive-data categories to block and topics an assistant should avoid. Guardrails are commonly enforced through the Gateway or applied directly through the SDK; connections are also available through framework integrations, a CLI, and REST API. Each decision can be recorded with its timestamp, system version, owner, supporting trace, and reason for blocking. Openlayer says guardrail activity contributes to compliance evidence and names the EU AI Act, ISO/IEC 42001, NIST AI RMF, and OSFI E-23. Deployment options include customer VPC and air-gapped environments; on-premise deployment is available on Enterprise. Basic is free, with one member, five projects, one inference pipeline per project, 20,000 monthly logs, 20 tests per project, one workspace, three months of retention, and Discord support. Enterprise pricing is custom.

Trusys AI is an enterprise platform for evaluating, monitoring, securing, and governing AI systems across their lifecycle. Its Argus-orchestrated tools cover agent evaluation, automated security testing, runtime observability, policy enforcement, and code scanning. TruScout tests for vulnerabilities, jailbreaks, and harmful outputs while validating compliance. TruEval measures behavior across tool use, multi-turn reasoning, memory, delegation, and collaboration using more than 75 scoring metrics. TruPulse traces agent actions and lineage, and monitors for drift, memory corruption, and policy violations in production. TruGuard applies rules at input, output, and action stages, including checks for injection attempts, data exposure, and unauthorized tool use. Agents connect through API, SDK, or MCP, and deployment is available as managed cloud hosting or self-hosting in a customer data center. The maker says customer prompts, datasets, and results stay in the customer environment and are not used to train its models. Starter is free; Professional is $69 a month, billed per user per month.